富营养化水体的水芹菜浮床栽培试验

通过水面浮床栽培试验,研究了水培水芹菜(Oenanthe javanica)植株的生长特征、生物量的解析结构,以及水芹菜在富营养化水体中对氮、磷的吸收,水芹植株的平均鲜量为85.22 g,其中水上部分占82%,水下部分占18%,生物量分布主要集中在水上部分.其对N 、P的直接吸收分别可以达到43.63～67.46 kg/(hm2·a)和9.828～10.29 kg/(hm2·a).结果表明,水芹是一种适合在低温的情况下进行水培的植物,并对富营养化水体有良好的净化效果.     

佛山市臭氧浓度时间变化特征及主要影响因子

对佛山市2011—2014年O_3监测数据进行分析,结果表明,ρ(O_3)日变化呈现明显的单峰特征,2011—2014年O_3日最大8小时滑动均值(O3-8 h)的年评价值没有出现显著的下降趋势,超标值多出现在8—10月。夏季O3-8 h与日平均气温的相关系数较高,O_3污染多发生在气温30℃,相对湿度为50%~70%的气象条件下。相对湿度60%,气温为20~25℃,也可能出现O3污染。10℃时,不同的温度条件下,O_3与PM_(2.5)存在正相关关系。在不同的季节时段,O_3-8 h基本随着ρ(NO_2)/ρ(NO)增大而增大。     

测试管法现场测定水中硫化物

研制了1种简便、快速，适用于现场监测水中硫化物的测试管。在酸性和有Fe^3 条件下，硫化物与对氨基二甲基苯胺反应生成亚甲蓝，颜色的深浅与硫化物含量成正比，通过与标准色阶对照得出水样中硫化物的含量。进行了测试管稳定性和标准色标稳定性试验，结果表明，在常温下测试管有效期为2a，标准色阶可使用5a。作了测试管法与分光光度法的对比测定，表明两种方法测定结果基本相同，相对误差在10％以内，满足了现场监测需要。     

新中国60年来农业多功能性演变的研究

农业多功能性是近年来国际可持续发展研究与政府闻谈判磋商的热点问题.科学地认识农业多功能性及其演变趋势,对于新时期中国可持续发展战略的制定与实施具有重要意义.鉴于此,该文通过对相关文献和调研资料的整理,从农业的产品生产功能、经济社会功能、生态环境功能、文化休闲功能4个方面.对建国60年来农业多功能性演变的基本趋势进行了初步研究.结果表明,农业产品生产功能在波折中不断提高,而地域之间呈此消彼长现象,总的趋势是农产品生产由南方向北方、由东部向西部转移;农业的经济功能已经大大弱化,但就业和社会保障功能依然极为重要;农业对生态环境的影响,总体来看负面效应要大于正面效应;农业文化传承功能呈全面衰落趋势,但旅游功能则在近年来大为增强.依据这一研究结果,该文进一步探讨了增强我国农业多功能性的政策措施.     

固相萃取-GC/MS法测定水中有机氯农药

建立了固相萃取-气相色谱／质谱联用测定水中痕量六六六、滴滴涕和环氧七氯的方法。采用C18固相萃取柱富集水样,二氯甲烷／丙酮混合溶剂洗脱,加入菲-d10作为内标,利用气相色谱／质谱联用仪选择离子监测模式检测,内标法定量,定性、定量准确,线性响应良好,干扰小,按采样1 L计算,方法检出限为4．26ng／L～19、2ng／L,RSD在0、4％-6、3％之间,平均加标回收率在77．7％～118％之间,实际样品测定结果表明方法能满足环境水体中痕量有机氯农药的监测要求。     

硫酸雾测试方法若干问题思考

简述了我国硫酸雾测试方法的发展历史,分析和总结了《固定污染源废气硫酸雾的测定离子色谱法》(HJ 544—2016)存在的一些争议和问题,包括硫酸雾的定义、测试方法的干扰控制等。分析认为,相比《硫酸工业污染物排放标准》(GB 26132—2010),HJ 544—2016对硫酸雾的定义更加合理。实验结果表明:硫酸盐是测试方法条件下的目标物,滤筒可以显著地捕捉硫酸盐。9组样品滤筒中,被测目标物所占比例为7.9%~69.1%;滤筒和前吸收液中,被测目标物所占比例为93.7%~97.8%。HJ 544—2016新增加的两级串联碱液吸收瓶可以较完全地捕集穿透滤筒后的硫酸雾,同时也会捕集SO2。SO2会对硫酸雾测试产生正干扰,约42.9%的SO2在被吸收后转化为硫酸雾。     

Integrating intraseasonal grassland dynamics in cross-scale distribution modeling to support waterbird recovery plans

Despite much discussion about the utility of remote sensing for effective conservation, the inclusion of these technologies in species recovery plans remains largely anecdotal. We developed a modeling approach for the integration of local, spatially measured ecosystem functional dynamics into a species distribution modeling (SDM) framework in which other ecologically relevant factors are modeled separately at broad scales. To illustrate the approach, we incorporated intraseasonal water-vegetation dynamics into a cross-scale SDM for the Common Snipe (Gallinago gallinago), which is highly dependent on water and vegetation dynamics. The Common Snipe is an Iberian grassland waterbird characteristic of European agricultural meadows and a member of one of the most threatened bird guilds. The intraseasonal dynamics of water content of vegetation were measured using the standard deviation of the normalized difference water index time series computed from bimonthly images of the Sentinel-2 satellite. The recovery plan for the Common Snipe in Galicia (northwestern Iberian Peninsula) provided an opportunity to apply our modeling framework. Model accuracy in predicting the species’ distribution at a regional scale (resulting from integration of downscaled climate projections with regional habitat–topographic suitability models) was very high (area under the curve [AUC] of 0.981 and Boyce's index of 0.971). Local water-vegetation dynamic models, based exclusively on Sentinel-2 imagery, were good predictors (AUC of 0.849 and Boyce's index of 0.976). The predictive power improved (AUC of 0.92 and Boyce's index of 0.98) when local model predictions were restricted to areas identified by the continental and regional models as priorities for conservation. Our models also performed well (AUC of 0.90 and Boyce's index of 0.93) when projected to updated water-vegetation conditions. Our modeling framework enabled incorporation of key ecosystem processes closely related to water and carbon cycles while accounting for other factors ecologically relevant to endangered grassland waterbirds across different scales, allowed identification of priority areas for conservation, and provided an opportunity for cost-effective recovery planning by monitoring management effectiveness from space.     

Extinction rate of discovered and undiscovered plants in Singapore

Extinction is a key issue in the assessment of global biodiversity. However, many extinction rate measures do not account for species that went extinct before they could be discovered. The highly developed island city–state of Singapore has one of the best-documented tropical floras in the world. This allowed us to estimate the total rate of floristic extinctions in Singapore since 1822 after accounting for sampling effort and crypto extinctions by collating herbaria records. Our database comprised 34,224 specimens from 2076 native species, of which 464 species (22%) were considered nationally extinct. We assumed that undiscovered species had the same annual per-species extinction rates as discovered species and that no undiscovered species remained extant. With classical and Bayesian algorithms, we estimated that 304 (95% confidence interval, 213–414) and 412 (95% credible interval, 313–534) additional species went extinct before they could be discovered, respectively; corresponding total extinction rate estimates were 32% and 35% (range 30–38%). We detected violations of our 2 assumptions that could cause our extinction estimates, particularly the absolute numbers, to be biased downward. Thus, our estimates should be treated as lower bounds. Our results illustrate the possible magnitudes of plant extirpations that can be expected in the tropics as development continues.     

2,4-dichlorophenoxyacetic acid (2,4-D) micropollutant herbicide removing from water using granular and powdered activated carbons: a comparison applied for water treatment and health safety

Abstract

Activated carbons are well-known porous materials as an effective adsorbent used for the removal of emerging contaminants, such as herbicides, which are increasingly present in water bodies. Most water treatment plants, specially in Brazil, are unable to completely remove such contaminants by the conventional process and advanced treatment using activated carbons is required. The aim of this paper was to verify the influence of the activated carbons granulometry and specific surface area on the 2,4-dichlorophenoxyacetic acid (2,4-D) herbicide removal efficiency using distilled-deionized water and filtered water collected from a conventional Water Treatment Plant. Commercial activated carbons samples used in this work were obtained from two different manufacturers. Activated carbons were analyzed by the specific surface area, pore size and volume distribution, nuclear magnetic resonance, infrared and x-ray spectroscopy, moisture, volatile matter and ash contents. Batch adsorption isotherms experiments were used and performed by Langmuir and Freundlich models. Granular and powdered activated carbons removed over 99% of 2,4-D in distilled water and near to 99% using filtered water. The activated carbons evaluated in this work presented high performance and played a key role in water treatment by removing 2,4-D herbicide, ensuring the protection of human health and the ecosystem.     

天然水中痕量磷酸根、亚砷酸根和砷酸根的浮膜分光光度法测定

本文研究了孔雀绿与磷（砷）酸钼的离子对膜的形成条件。并依此与共存元素分离，进行痕量磷酸根、亚砷酸根和砷酸根的浮膜分光光度法测定。选用硫酸为介质，考察了25种共存离子对测定的影响。拟定了天然水中痕量磷酸根、亚砷酸根和砷酸根的分析方法．操作简便，结果令人满意。